Impatient task mapping in elastic cloud using genetic algorithm
Problem statement: Task scheduling is the main factor that determines the performance of any distributed system. Cloud computing comes with a paradigm of distributed datacenters. Each datacenter consists of physical machines that host virtual machines to execute customers' tasks. Resources allo...
Saved in:
Main Authors: | Mehdi, Nawfal A., Mamat, Ali, Ibrahim, Hamidah, K. Subramaniam, Shamala |
---|---|
Format: | Article |
Language: | English |
Published: |
Science Publications
2011
|
Online Access: | http://psasir.upm.edu.my/id/eprint/22481/1/jcssp.2011.877.883.pdf http://psasir.upm.edu.my/id/eprint/22481/ http://thescipub.com/html/10.3844/jcssp.2011.877.883 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Impatient job scheduling under cloud computing
by: Mahdi, Nawfal A.
Published: (2012) -
Task scheduling in cloud computing environment using hybrid genetic algorithm and bat algorithm
by: Muhammad Syahril Mohamad Sainal
Published: (2022) -
Multiphase scalable grid scheduler based on multi-QoS using min-min heuristic.
by: A. Mehdi, Nawfal, et al.
Published: (2010) -
Hybrid ant genetic algorithm for efficient task scheduling in cloud data centers
by: Ajmal, Muhammad Sohaib, et al.
Published: (2021) -
On the fly negotiation for urgent service level agreement on intercloud environment
by: Mehdi, Nawfal A., et al.
Published: (2011)